From ff47c2eeaa84f3a7009101a4a5f3fd3a01fd72c5 Mon Sep 17 00:00:00 2001 From: zleyyij Date: Mon, 29 Jan 2024 14:32:58 -0700 Subject: [PATCH] vault backup: 2024-01-29 14:32:58 --- education/statistics/Sampling.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/education/statistics/Sampling.md b/education/statistics/Sampling.md index 65d2ef9..540c598 100644 --- a/education/statistics/Sampling.md +++ b/education/statistics/Sampling.md @@ -73,6 +73,7 @@ Remember that the *parameter* is the *number* that actually describes the popula For any unknown average, the probability histogram of the sample averages will be shaped like the normal curve and centered at the true average with a standard deviation equal to $SE_{ave}$. $$ sample_{ave} \pm 2 * SE_{ave} $$ +If solving for a specific interval, substitute $2$ for your $z$ value. This equation should be a review: $$ SE_{ave} = \frac{SD}{\sqrt{size\space samp}} $$ The above equation will give you an interval that you can be 95% confident that the true random will be within that point. @@ -82,4 +83,7 @@ The above equation will give you an interval that you can be 95% confident that A confidence interval is only valid if the sample is not a simple random sample. If we're using two standard deviations, the below statement can be used: -"We can be 95% confident that the interval \[we have constructed] contains the true average \[thing being measured]." \ No newline at end of file +"We can be 95% confident that the interval \[we have constructed] contains the true average \[thing being measured]." + +## Margin of Error +The margin of error is $sample_{ave} \pm z* SE_{ave}$. As we increase the confide \ No newline at end of file